CN102541719A - System and method for eliminating wrong observed values - Google Patents
System and method for eliminating wrong observed values Download PDFInfo
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- CN102541719A CN102541719A CN2010106051615A CN201010605161A CN102541719A CN 102541719 A CN102541719 A CN 102541719A CN 2010106051615 A CN2010106051615 A CN 2010106051615A CN 201010605161 A CN201010605161 A CN 201010605161A CN 102541719 A CN102541719 A CN 102541719A
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- value
- observed reading
- predicted value
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- permissible variation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3058—Monitoring arrangements for monitoring environmental properties or parameters of the computing system or of the computing system component, e.g. monitoring of power, currents, temperature, humidity, position, vibrations
Abstract
A system and a method for eliminating wrong observed values can be applied to data processing devices. The system comprises an obtaining module for obtaining observation values of monitoring parameters regularly, a forecasting module for calculating forecasting values of the observation values, a judging module for judging whether the observation values are in an allowable deviation range of the forecasting values, a storing module for storing the observation values when the observation values are in the allowable deviation range of the forecasting values and a verification module which obtains adjacent values of the observation values and calculates forecasting values of the adjacent values according to the observation values when the observation values are not in the allowable deviation range of the forecasting values, judges whether the adjacent values are in the allowable deviation range of the forecasting values, saves the observation values if the adjacent values are in the allowable deviation range of the forecasting values, and otherwise eliminates the observation values if the adjacent values are not in the allowable deviation values of the forecasting values. The system and the method can detect and eliminate wrong values in the observation values.
Description
Technical field
The present invention relates to a kind of smp data processing system and method, particularly get rid of the system and method for the wrong observed reading in its Monitoring Data about a kind of data processing equipment.
Background technology
In order to guarantee the safe operation of data processing equipment (like server), data processing equipment can regularly obtain the observed reading of monitoring parameter (the for example voltage of CPU and temperature), according to the data of obtaining the data treatment facility is managed and is controlled.For example, when the voltage of CPU surpassed threshold value, data processing equipment can be cut off the electricity supply and give the alarm to remote terminal.Yet, possibly there is improper value in the observed reading that data processing equipment obtains, these improper values will influence data processing equipment and carry out proper operation.
Summary of the invention
In view of above content, be necessary to provide a kind of system of debug observed reading, can detect and remove the improper value in the observed reading.
In addition, also be necessary to provide a kind of method of debug observed reading, can detect and remove the improper value in the observed reading.
A kind of system of debug observed reading runs in the data processing equipment, and this system comprises: acquisition module is used for regularly obtaining the observed reading of monitoring parameter; Prediction module is used for the predicted value of calculating observation value; Judge module is used to judge that observed reading is whether in the permissible variation scope of its predicted value; Memory module is used for observed reading being stored as actual value when in the permissible variation scope of observed reading in its predicted value; And authentication module, be used for when observed reading is not in the permissible variation scope in its predicted value, obtain observed reading close on value and according to the predicted value of its value of closing on of observed reading calculating; Judge and to close on value whether in the permissible variation scope of its predicted value; If close on value in the permissible variation scope of its predicted value, then observed reading is stored as actual value, otherwise; If close on value not in the permissible variation scope of its predicted value, then observed reading is given up as improper value.
A kind of method of debug observed reading is executed in the data processing equipment, and the method comprising the steps of: the observed reading of regularly obtaining monitoring parameter; The predicted value of calculating observation value; Judge that observed reading is whether in the permissible variation scope of its predicted value; If observed reading in the permissible variation scope of its predicted value, is then stored observed reading as actual value; If observed reading not in the permissible variation scope of its predicted value, is then obtained the value of closing on of observed reading; Calculate the predicted value of its value of closing on according to observed reading; Judge and to close on value whether in the permissible variation scope of its predicted value; And if close on value in the permissible variation scope of its predicted value, then observed reading is stored as actual value, otherwise, if close on value not in the permissible variation scope of its predicted value, then observed reading is given up as improper value.
The present invention predicts the monitoring parameter according to treatment facility, judges observed reading whether in the permissible variation scope of its predicted value, thereby detects wrong observed reading, avoided wrong observed reading influence data processing equipment execution proper operation.
Description of drawings
Fig. 1 is the applied environment synoptic diagram of system's preferred embodiment of debug observed reading of the present invention.
Fig. 2 is the functional block diagram of the system of debug observed reading among Fig. 1.
Fig. 3 is the process flow diagram of the method preferred embodiment of debug observed reading of the present invention.
The main element symbol description
| The system of debug observed |
10 |
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11 |
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12 |
| |
200 |
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210 |
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220 |
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230 |
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240 |
Embodiment
Consulting shown in Figure 1ly, is the applied environment synoptic diagram of system's preferred embodiment of debug observed reading of the present invention.The system 10 of said debug observed reading runs in the data processing equipment 11.This data processing equipment 11 utilizes data acquisition equipment 12 (for example temperature sensor, voltage table) regularly to obtain the observed reading of the monitoring parameter of data processing equipment 11, according to the data of obtaining data treatment facility 11 is managed and is controlled.In the present embodiment, said monitoring parameter comprises voltage and temperature.For example, data processing equipment 11 every observed readings of obtaining the voltage of a CPU at a distance from 1 second are cut off the electricity supply and are given the alarm to remote terminal when the voltage of CPU surpasses threshold value.Possibly have improper value in the observed reading that data processing equipment 11 obtains, this improper value will influence data processing equipment 11 and carry out proper operation.Move the system 10 of said debug observed reading, can detect and remove the improper value in the observed reading.In the present embodiment, said data processing equipment 11 is a server, and the system 10 of said debug observed reading runs in the baseboard management controller of this server.
Consulting shown in Figure 2ly, is the functional block diagram of the system of debug observed reading among Fig. 1.The system 10 of said debug observed reading comprises acquisition module 200, prediction module 210, judge module 220, memory module 230 and authentication module 240.
Said acquisition module 200 is used for regularly obtaining the observed reading of the monitoring parameter of data processing equipment 11.As previously mentioned, said acquisition module 200 utilizes data acquisition equipment 12 to obtain the observed reading of monitoring parameter, and said monitoring parameter comprises temperature and voltage.For example, acquisition module 200 every observed readings of obtaining the voltage of a CPU at a distance from 1 second.
Said prediction module 210 is used for the predicted value of calculating observation value.In the present embodiment, prediction module 210 adopts the predicted value of exponential smoothing calculating observation value.For example, prediction module 210 adopts the predicted value of an exponential smoothing calculating observation value, and the formula of a said exponential smoothing is: F
t=ax
T-1+ (1-a) F
T-1, wherein α is a smoothing constant, value between 0 to 1, F
tBe the predicted value of current period, F
T-1Be the predicted value that goes up first phase, x (t) is the observed reading that goes up first phase.Said prediction module 210 can also adopt the predicted value of other prediction algorithm (the for example method of moving average) calculating observation value.
Said judge module 220 is used to judge that observed reading is whether in the permissible variation scope of its predicted value.In the present embodiment, for observed reading, with its predicted value positive and negative deviation certain percentage or certain numerical value permissible variation scope as its predicted value.For example, with the permissible variation scope of predicted value positive and negative deviation 5 percent as predicted value, if predicted value is 1.5V, then the permissible variation scope of predicted value is 1.5* (1-5%) V to 1.5* (1+5%) V, i.e. 1.425V～1.575V.And for example, with the permissible variation scope of predicted value positive and negative deviation 0.1V as predicted value, if predicted value is 1.5V, then the permissible variation scope of predicted value is that (1.5-0.1) V is to (1.5+0.1) V, i.e. 1.4V～1.6V.
Said authentication module 240 is used for when observed reading is not in the permissible variation scope in its predicted value, obtains closing on value and calculating the predicted value of its value of closing on according to observed reading of observed reading.Said observed reading close on the numerical value that value is meant after observed reading the monitoring parameter that short period (for example 50 milliseconds) at interval records.In the present embodiment, authentication module 240 is 50 milliseconds of double values of closing on of obtaining observed reading at interval, and the employing method (for example exponential smoothing) identical with the predicted value of calculating observation value calculated the predicted value of closing on value.Authentication module 240 is judged and is closed on value whether in the permissible variation scope of its predicted value; If close on value in the permissible variation scope of its predicted value; Then observed reading is stored as actual value, in order to data treatment facility 11 is managed and is controlled, otherwise; If close on value not in the permissible variation scope of its predicted value, then observed reading is given up as improper value.In the present embodiment, for closing on value, with its predicted value positive and negative deviation certain percentage or certain numerical value permissible variation scope as its predicted value.
Consulting shown in Figure 3ly, is the process flow diagram of the method preferred embodiment of debug observed reading of the present invention.
Step S301, acquisition module 200 regularly obtains the observed reading of the monitoring parameter of data processing equipment 11.In the present embodiment, said acquisition module 200 utilizes data acquisition equipment 12 (for example temperature sensor, voltage table) to obtain the observed reading of monitoring parameter, and said monitoring parameter comprises temperature and voltage.For example, acquisition module 200 every observed readings of obtaining the voltage of a CPU at a distance from 1 second.
Step S302, the predicted value of prediction module 210 calculating observation values.In the present embodiment, prediction module 210 adopts the predicted value of exponential smoothing calculating observation value.For example, prediction module 210 adopts the predicted value of an exponential smoothing calculating observation value, and the formula of a said exponential smoothing is: F
t=ax
T-1+ (1-a) F
T-1, wherein α is a smoothing constant, value between 0 to 1, F
tBe the predicted value of current period, F
T-1Be the predicted value that goes up first phase, x (t) is the observed reading that goes up first phase.Said prediction module 210 can also adopt the predicted value of other prediction algorithm (the for example method of moving average) calculating observation value.
Step S303, judge module 220 judge that observed reading is whether in the permissible variation scope of its predicted value.In the present embodiment, for observed reading, with its predicted value positive and negative deviation certain percentage or certain numerical value permissible variation scope as its predicted value.For example, with the permissible variation scope of predicted value positive and negative deviation 5 percent as predicted value, if predicted value is 1.5V, then the permissible variation scope of predicted value is 1.5* (1-5%) V to 1.5* (1+5%) V, i.e. 1.425V～1.575V.And for example, with the permissible variation scope of predicted value positive and negative deviation 0.1V as predicted value, if predicted value is 1.5V, then the permissible variation scope of predicted value is that (1.5-0.1) V is to (1.5+0.1) V, i.e. 1.4V～1.6V.
If observed reading is in the permissible variation scope of its predicted value, step S304, memory module 230 is stored observed reading as actual value, in order to data treatment facility 11 is managed and controlled.For example, if observed reading is 1.45V, the permissible variation scope of its predicted value is 1.425V～1.575V, and then observed reading is in the permissible variation scope of its predicted value, and memory module 230 is stored this observed reading as actual value.
If observed reading is not in the permissible variation scope of its predicted value, step S305, authentication module 240 obtain the value of closing on of observed reading.Said observed reading close on the numerical value that value is meant after observed reading the monitoring parameter that short period (for example 50 milliseconds) at interval records.In the present embodiment, 50 milliseconds of double values of closing on of obtaining observed reading in authentication module 240 intervals.
Step S306, authentication module 240 calculate the predicted value of its value of closing on according to observed reading.In the present embodiment, adopt the method (for example exponential smoothing) identical to calculate the predicted value of closing on value with the predicted value of calculating observation value.
Step S307, authentication module 240 judge and close on value whether in the permissible variation scope of its predicted value.In the present embodiment, for closing on value, with its predicted value positive and negative deviation certain percentage or certain numerical value permissible variation scope as its predicted value.
If close on value in the permissible variation scope of its predicted value, step S308, authentication module 240 store observed reading as actual value, in order to data treatment facility 11 is managed and controlled.
Otherwise, if close on value not in the permissible variation scope of its predicted value, step S308, authentication module 240 is given up observed reading as improper value.
Claims (10)
1. the system of a debug observed reading runs in the data processing equipment, it is characterized in that, this system comprises:
Acquisition module is used for regularly obtaining the observed reading of monitoring parameter;
Prediction module is used for the predicted value of calculating observation value;
Judge module is used to judge that observed reading is whether in the permissible variation scope of its predicted value;
Memory module is used for observed reading being stored as actual value when in the permissible variation scope of observed reading in its predicted value; And
Authentication module is used for when observed reading is not in the permissible variation scope in its predicted value, obtains closing on value and calculating the predicted value of its value of closing on according to observed reading of observed reading; Judge and to close on value whether in the permissible variation scope of its predicted value; If close on value in the permissible variation scope of its predicted value, then observed reading is stored as actual value, otherwise; If close on value not in the permissible variation scope of its predicted value, then observed reading is given up as improper value.
2. the system of debug observed reading as claimed in claim 1 is characterized in that, said monitoring parameter comprises voltage and temperature.
3. the system of debug observed reading as claimed in claim 1 is characterized in that, said observed reading adopts exponential smoothing to calculate with the predicted value of closing on value.
4. the system of debug observed reading as claimed in claim 1 is characterized in that, said observed reading or to close on value all be with its predicted value positive and negative deviation certain percentage or the certain numerical value permissible variation scope as its predicted value.
5. the system of debug observed reading as claimed in claim 1 is characterized in that, said data processing equipment is a server, and this system runs in the baseboard management controller of server.
6. the method for a debug observed reading is executed in the data processing equipment, it is characterized in that the method comprising the steps of:
Regularly obtain the observed reading of monitoring parameter;
The predicted value of calculating observation value;
Judge that observed reading is whether in the permissible variation scope of its predicted value;
If observed reading in the permissible variation scope of its predicted value, is then stored observed reading as actual value;
If observed reading not in the permissible variation scope of its predicted value, is then obtained the value of closing on of observed reading;
Calculate the predicted value of its value of closing on according to observed reading;
Judge and to close on value whether in the permissible variation scope of its predicted value; And
If close on value in the permissible variation scope of its predicted value, then observed reading is stored as actual value, otherwise, if close on value not in the permissible variation scope of its predicted value, then observed reading is given up as improper value.
7. the method for debug observed reading as claimed in claim 6 is characterized in that, said monitoring parameter comprises voltage and temperature.
8. the method for debug observed reading as claimed in claim 6 is characterized in that, said observed reading adopts exponential smoothing to calculate with the predicted value of closing on value.
9. the method for debug observed reading as claimed in claim 6 is characterized in that, said observed reading or to close on value all be with its predicted value positive and negative deviation certain percentage or the certain numerical value permissible variation scope as its predicted value.
10. the method for debug observed reading as claimed in claim 6 is characterized in that, said data processing equipment is a server, and this method is executed in the baseboard management controller of server.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010106051615A CN102541719A (en) | 2010-12-24 | 2010-12-24 | System and method for eliminating wrong observed values |
| US13/310,708 US8607133B2 (en) | 2010-12-24 | 2011-12-03 | Data processing device and method for checking parameter values of the data processing device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010106051615A CN102541719A (en) | 2010-12-24 | 2010-12-24 | System and method for eliminating wrong observed values |
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| CN102541719A true CN102541719A (en) | 2012-07-04 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN2010106051615A Pending CN102541719A (en) | 2010-12-24 | 2010-12-24 | System and method for eliminating wrong observed values |
Country Status (2)
| Country | Link |
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| US (1) | US8607133B2 (en) |
| CN (1) | CN102541719A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104899109A (en) * | 2015-05-06 | 2015-09-09 | 深圳市国鑫恒宇科技有限公司 | Operating system based CPU temperature obtaining system |
| CN107886992A (en) * | 2017-11-06 | 2018-04-06 | 郑州云海信息技术有限公司 | A kind of RAID method for detecting health status, system and relevant apparatus |
| CN110501759A (en) * | 2019-07-03 | 2019-11-26 | 中国商用飞机有限责任公司 | The processing method and processing system of the multi-source atmosphere data parameter of aircraft |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| WO2021031091A1 (en) * | 2019-08-19 | 2021-02-25 | Siemens Aktiengesellschaft | Method and apparatus for detecting operating status of device, and computer readable medium |
| CN117436353B (en) * | 2023-12-21 | 2024-03-22 | 泰安维创游乐设备有限公司 | Intelligent recreation facility fault prediction method based on big data |
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| CN101600229A (en) * | 2009-07-24 | 2009-12-09 | 中国科学院计算技术研究所 | Air-link resources dispatching method in a kind of wireless communication system |
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| US7751910B2 (en) * | 2007-04-16 | 2010-07-06 | Oracle America, Inc. | High-accuracy virtual sensors for computer systems |
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2011
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1726479A (en) * | 2002-12-13 | 2006-01-25 | 兰姆研究有限公司 | Method and apparatus for slope to threshold conversion for process state monitoring and endpoint detection |
| CN101600229A (en) * | 2009-07-24 | 2009-12-09 | 中国科学院计算技术研究所 | Air-link resources dispatching method in a kind of wireless communication system |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104899109A (en) * | 2015-05-06 | 2015-09-09 | 深圳市国鑫恒宇科技有限公司 | Operating system based CPU temperature obtaining system |
| CN104899109B (en) * | 2015-05-06 | 2018-03-06 | 深圳市同泰怡信息技术有限公司 | A kind of method that cpu temperature is obtained under operating system |
| CN107886992A (en) * | 2017-11-06 | 2018-04-06 | 郑州云海信息技术有限公司 | A kind of RAID method for detecting health status, system and relevant apparatus |
| CN110501759A (en) * | 2019-07-03 | 2019-11-26 | 中国商用飞机有限责任公司 | The processing method and processing system of the multi-source atmosphere data parameter of aircraft |
Also Published As
| Publication number | Publication date |
|---|---|
| US8607133B2 (en) | 2013-12-10 |
| US20120166919A1 (en) | 2012-06-28 |
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Application publication date: 20120704 |